Triple
T4614374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angi |
E100830
|
entity |
| Predicate | businessModelDetail |
P15707
|
FINISHED |
| Object | lead generation for service professionals |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: lead generation for service professionals | Statement: [Angi, businessModelDetail, lead generation for service professionals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessModelDetail Context triple: [Angi, businessModelDetail, lead generation for service professionals]
-
A.
businessModelPioneerOf
Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
-
B.
businessModelFocus
Indicates that one entity’s business model is centered on, tailored to, or primarily oriented around another entity or specific focus area.
-
C.
operatingModel
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
D.
marketingModel
Indicates a relationship where an entity uses or is associated with a specific marketing model, framework, or strategy to guide promotional or market-related decisions.
-
E.
associatedCompanyBusinessModel
chosen
Indicates that there is a relationship linking a company to the specific business model it follows or employs.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c2678c8190ab8f9420e866521d |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.